This week, a subject that has been boomeranging round Silicon Valley bounced into the highlight: AI tokens as compensation. The thought is easy sufficient — fairly than giving engineers solely wage, fairness, and bonuses, firms would additionally hand them a funds of AI tokens, the computational models that energy instruments like Claude, ChatGPT, and Gemini. Spend them to run brokers, automate duties, crank by way of code. The pitch is that entry to extra compute makes engineers extra productive, and that extra productive engineers are price extra. It’s an funding within the individual holding them, is the thought.
Jensen Huang, the leather-jacket-wearing CEO of Nvidia, appeared to seize everybody’s creativeness when he floated the notion on the firm’s annual GTC occasion earlier this week that engineers ought to obtain roughly half their base wage once more — in tokens. His prime individuals, by his math, would possibly burn by way of $250,000 a 12 months in AI compute. He referred to as it a recruiting software and predicted it will turn out to be commonplace throughout Silicon Valley.
It isn’t completely clear the place the thought was first, nicely, ideated. Tomasz Tunguz, a famend VC within the Bay Space who runs Concept Ventures and focuses on AI, knowledge, and SaaS startups — and whose writing on all issues knowledge has garnered a loyal following over time — was speaking about this in mid-February, writing that tech startups have been already including inference prices as a “fourth element to engineering compensation.” Utilizing knowledge from the compensation monitoring web site Ranges.fyi, he put a top-quartile software program engineer wage at $375,000. Add $100,000 in tokens and also you’re at $475,000 absolutely loaded — which means roughly one greenback in 5 is now compute.
That’s no coincidence. Agentic AI has been taking off, and the launch of OpenClaw in late January accelerated the dialog significantly. OpenClaw is an open-source AI assistant designed to run repeatedly — churning by way of duties, spawning sub-agents, and dealing by way of a to-do checklist whereas its consumer sleeps. It’s a part of a broader shift towards “agentic” AI, which means methods that don’t simply reply to prompts however take sequences of actions autonomously over time.
The sensible consequence is that token consumption has exploded. The place somebody writing an essay would possibly use 10,000 tokens in a day, an engineer operating a swarm of brokers can blow by way of tens of millions in a day — mechanically, within the background, with out typing a phrase.
By this weekend, the New York Occasions had put collectively a good look on the so-called tokenmaxxing pattern, discovering that engineers at firms together with Meta and OpenAI are competing on inner leaderboards that monitor token consumption. Beneficiant token budgets are quietly turning into an ordinary job perk, the paper reported, the way in which dental insurance coverage or free lunch as soon as was. One Ericsson engineer in Stockholm informed the Occasions he most likely spends extra on Claude than he earns in wage, although his employer picks up the tab.
Perhaps tokens actually will turn out to be the fourth pillar of engineering compensation. However engineers would possibly wish to maintain the road earlier than embracing this as a simple win. Extra tokens could imply extra energy within the brief time period, however given how briskly issues are evolving, it doesn’t essentially imply extra job safety. For one factor, a big token allotment comes with giant expectations. If an organization is successfully funding a second engineer’s price of compute in your behalf, the implicit strain is to provide at twice the speed (or extra).
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And there’s a muddier drawback beneath that: on the level the place an organization’s token spend per worker approaches or exceeds that worker’s wage, the monetary logic of headcount begins to look totally different to its finance crew. If the compute is doing the work, the query of what number of people should be coordinating it turns into more durable to keep away from.
Jamaal Glenn, an East Coast-based Stanford MBA and former VC turned monetary providers CFO, equally factors out that what could seem to be a perk generally is a intelligent approach for firms to inflate the obvious worth of a compensation bundle with out growing money or fairness — the issues that really compound for an worker over time. Your token funds doesn’t vest. It doesn’t admire. It doesn’t present up in your subsequent supply negotiation the way in which a base wage or fairness grant does. If firms efficiently normalize tokens as pay, they might discover it simpler to maintain money comp flat whereas pointing to a rising compute allowance as proof of funding of their individuals.
That’s a great deal for the corporate. Whether or not it’s a great deal for the engineer relies on questions most engineers don’t but have sufficient info to reply.
